📑 Selected Publications (Full List)
Learning for (combinatorial) optimization
NeurIPS 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution, Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie SongNeurIPS 2023 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization, Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong LiAAAI 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time, Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang LiKDD 2025 TransPlace: Transferable Circuit Global Placement via Graph Neural Network, Yunbo Hou, Haorao Ye, Shuwen Yang, Yingxue Zhang, Siyuan Xu, Guojie SongKDD 2024 RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network, Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie SongKDD 2025 D&B Track RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark, Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, and more authors
Human-centered AI; AI + Psychology; Safety and value alignment
Survey Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement, Haoran Ye, Jing Jin, Yuhang Xie, Xin Zhang, Guojie SongACL 2025 Main, Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models, Haoran Ye, Tianze Zhang, Yuhang Xie, Liyuan Zhang, Yuanyi Ren, Xin Zhang, Guojie SongAAAI 2025 Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models, Haoran Ye, Yuhang Xie, Yuanyi Ren, Hanjun Fang, Xin Zhang, Guojie SongACL 2024 Main ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models, Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song
Agentic AI and foundation models
